Erich Elsen
18 papers · 2016–2022 · 4 venues · across top CS/AI venues
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Machine Learning
(12)
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Optimization & Theory Β· Machine Learning
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Models
(5)
Artificial Intelligence
(4)
Core AI
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Optimization & Theory Β· Deep Learning
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(3)
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(2)
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(2)
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(2)
Keywords
model compression
(3)
parameter efficiency
(3)
speech synthesis
(2)
waveform generation
(2)
end-to-end learning
(2)
recurrent neural network
(2)
sparse training
(2)
scaling law
(2)
neural network pruning
(2)
audio synthesis
(2)
sparse neural network
(2)
neural network
(2)
computational efficiency
(1)
efficient inference
(1)
online learning
(1)
document retrieval
(1)
text generation
(1)
stochastic gradient descent
(1)
deep reinforcement learning
(1)
question answering
(1)
Papers
An empirical analysis of compute-optimal large language model training
NeurIPS 2022
Improving Language Models by Retrieving from Trillions of Tokens
ICML 2022
Step-unrolled Denoising Autoencoders for Text Generation
ICLR 2022
The State of Sparse Training in Deep Reinforcement Learning
ICML 2022
Unified Scaling Laws for Routed Language Models
ICML 2022
End-to-end Adversarial Text-to-Speech
ICLR 2021
Practical Real Time Recurrent Learning with a Sparse Approximation
ICLR 2021
Fast Sparse ConvNets
CVPR 2020
High Fidelity Speech Synthesis with Adversarial Networks
ICLR 2020
On the Generalization Benefit of Noise in Stochastic Gradient Descent
ICML 2020
Rigging the Lottery: Making All Tickets Winners
ICML 2020
Top-KAST: Top-K Always Sparse Training
NeurIPS 2020
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset
ICLR 2019
Efficient Neural Audio Synthesis
ICML 2018
Mixed Precision Training
ICLR 2018
Parallel WaveNet: Fast High-Fidelity Speech Synthesis
ICML 2018
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin
ICML 2016
Persistent RNNs: Stashing Recurrent Weights On-Chip
ICML 2016